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回归“金标准”:如今血细胞比容检测有多精确?

Back to the "Gold Standard": How Precise is Hematocrit Detection Today?

作者信息

Livshits Leonid, Bilu Tal, Peretz Sari, Bogdanova Anna, Gassmann Max, Eitam Harel, Koren Ariel, Levin Carina

机构信息

Red Blood Cell Research Group, Vetsuisse Faculty, Institute of Veterinary Physiology, University of Zurich, Zürich, Switzerland.

Pediatric Hematology Unit, Emek Medical Center, Afula, Israel.

出版信息

Mediterr J Hematol Infect Dis. 2022 Jul 1;14(1):e2022049. doi: 10.4084/MJHID.2022.049. eCollection 2022.

Abstract

INTRODUCTION

The commonly used method for hematocrit detection, by visual examination of microcapillary tube, known as "micro-HCT", is subjective but remains one of the key sources for fast hematocrit evaluation. Analytical automation techniques have increased the standardization of RBC index detection; however, indirect hematocrit measurements by blood analyzer, the automated HCT, do not correlate well with "micro-HCT" results in patients with hematological pathologies. We aimed to overcome those disadvantages in "micro-HCT" analysis using "ImageJ" processing software.

METHODS

223 blood samples from the "general population" and 19 from sickle cell disease patients were examined in parallel for hematocrit values using the automated HCT, standard "micro-HCT," and "ImageJ" micro-HCT methods.

RESULTS

For the "general population" samples, the "ImageJ" values were significantly higher than the corresponding values evaluated by standard "micro-HCT" and automated HCT, except for the 0 to 2 month old newborns, in which the automated HCT results were similar to the "ImageJ" evaluated HCT. Similar to the "general population" cohort, we found significantly higher values measured by "ImageJ" compared to either "micro-HCT" or the automated HCT in SCD patients. Correspondent differences for the MCV and MCHC were also found.

DISCUSSION

This study introduces the "micro-HCT" assessment technique using the image-analysis module of "ImageJ" software. This procedure allows overcoming most of the data errors associated with the standard "micro-HCT" evaluation and can replace the use of complicated and expensive automated equipment. The presented results may also be used to develop new standards for calculating hematocrit and associated parameters for routine clinical practice.

摘要

引言

常用的血细胞比容检测方法是通过目视检查微量毛细管,即所谓的“微量血细胞比容法(micro - HCT)”,该方法具有主观性,但仍是快速评估血细胞比容的关键来源之一。分析自动化技术提高了红细胞指数检测的标准化程度;然而,血液分析仪间接测量血细胞比容(即自动血细胞比容法)与患有血液学疾病患者的“微量血细胞比容法”结果相关性不佳。我们旨在使用“ImageJ”处理软件克服“微量血细胞比容法”分析中的这些缺点。

方法

使用自动血细胞比容法、标准“微量血细胞比容法”和“ImageJ”微量血细胞比容法,对来自“普通人群”的223份血液样本和19份镰状细胞病患者的样本进行血细胞比容值的平行检测。

结果

对于“普通人群”样本,除了0至2个月大的新生儿(其自动血细胞比容法结果与“ImageJ”评估的血细胞比容相似)外,“ImageJ”值显著高于标准“微量血细胞比容法”和自动血细胞比容法评估的相应值。与“普通人群”队列相似,我们发现镰状细胞病患者中,“ImageJ”测量的值显著高于“微量血细胞比容法”或自动血细胞比容法测量的值。还发现了平均红细胞体积(MCV)和平均红细胞血红蛋白浓度(MCHC)的相应差异。

讨论

本研究介绍了使用“ImageJ”软件图像分析模块的“微量血细胞比容法”评估技术。该程序可以克服与标准“微量血细胞比容法”评估相关的大多数数据误差,并且可以替代使用复杂且昂贵的自动化设备。所呈现的结果也可用于制定常规临床实践中计算血细胞比容及相关参数的新标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ee8/9266461/15796cc51a6a/mjhid-14-1-e2022049f1.jpg

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